Research map / Image generation / Image restoration
Deep Color Consistent Network for Low-Light Image Enhancement
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add G-Net to recover gray-image structure and texture information (ablation) | DCC-Net · LOL testing | PSNR: 21.51 -> 22.72 | Helped |
| Add C-Net to learn color distributions (ablation) | DCC-Net · LOL testing | PSNR: 21.01 -> 22.72 | Helped |
| Add the pyramid color embedding (PCE) module (ablation) | DCC-Net · LOL testing | PSNR: 21.14 -> 22.72 | Helped |
Closest papers by meaning
- Color Shift Estimation-and-Correction for Image Enhancement (CVPR 2024 · similarity 0.85)
- Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement (CVPR 2023 · similarity 0.85)
- ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing (AAAI 2024 · similarity 0.84)
- Semantically Contrastive Learning for Low-Light Image Enhancement (AAAI 2022 · similarity 0.84)
- Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions (AAAI 2025 · similarity 0.84)
- HVI: A New Color Space for Low-light Image Enhancement (CVPR 2025 · similarity 0.83)
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